PostgreSQL.get_schema_info
- PostgreSQL.get_schema_info(names_only=True, include_all=False, column_names=None, verbose=False)[source]
Get the names of existing schemas.
- Parameters:
names_only (bool) – whether to return only the names of the schema names, defaults to
True
include_all (bool) – whether to list all the available schemas, defaults to
False
column_names (None | list) – column names of the returned dataframe if
names_only=False
; whencolumn_names=None
, it defaults to['schema_name', 'schema_id', 'role']
verbose (bool | int) – whether to print relevant information in console, defaults to
False
- Returns:
schema names
- Return type:
list | pandas.DataFrame | None
Examples:
>>> from pyhelpers.dbms import PostgreSQL >>> testdb = PostgreSQL('localhost', 5432, 'postgres', database_name='testdb') Password (postgres@localhost:5432): *** Creating a database: "testdb" ... Done. Connecting postgres:***@localhost:5432/testdb ... Successfully. >>> testdb.get_schema_info() ['public'] >>> testdb.get_schema_info(names_only=False, include_all=True) schema_name schema_owner oid nspowner 0 public pg_database_owner 2200 6171 1 pg_toast postgres 99 10 2 pg_catalog postgres 11 10 3 information_schema postgres 13183 10 >>> testdb.create_schema(schema_name='test_schema', verbose=True) Creating a schema: "test_schema" ... Done. >>> testdb.get_schema_info() ['public', 'test_schema'] >>> testdb.drop_schema(schema_names=['public', 'test_schema'], verbose=True) To drop the following schemas from postgres:***@localhost:5432/testdb: "public" "test_schema" ? [No]|Yes: yes Dropping ... "public" ... Done. "test_schema" ... Done. >>> testdb.get_schema_info() is None True >>> testdb.get_schema_info(verbose=True) No schema exists in the currently-connected database "testdb". >>> testdb.drop_database(verbose=True) # Delete the database "testdb" To drop the database "testdb" from postgres:***@localhost:5432 ? [No]|Yes: yes Dropping "testdb" ... Done.